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- from __future__ import annotations
- import json, requests, re
- from curl_cffi import requests as cf_reqs
- from ..typing import CreateResult, Messages
- from .base_provider import ProviderModelMixin, AbstractProvider
- from .helper import format_prompt
- class HuggingChat(AbstractProvider, ProviderModelMixin):
- url = "https://huggingface.co/chat"
- working = True
- supports_stream = True
- default_model = "meta-llama/Meta-Llama-3.1-70B-Instruct"
-
- models = [
- 'meta-llama/Meta-Llama-3.1-70B-Instruct',
- 'CohereForAI/c4ai-command-r-plus-08-2024',
- 'Qwen/Qwen2.5-72B-Instruct',
- 'nvidia/Llama-3.1-Nemotron-70B-Instruct-HF',
- 'meta-llama/Llama-3.2-11B-Vision-Instruct',
- 'NousResearch/Hermes-3-Llama-3.1-8B',
- 'mistralai/Mistral-Nemo-Instruct-2407',
- 'microsoft/Phi-3.5-mini-instruct',
- ]
-
- model_aliases = {
- "llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct",
- "command-r-plus": "CohereForAI/c4ai-command-r-plus-08-2024",
- "qwen-2-72b": "Qwen/Qwen2.5-72B-Instruct",
- "nemotron-70b": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
- "llama-3.2-11b": "meta-llama/Llama-3.2-11B-Vision-Instruct",
- "hermes-3": "NousResearch/Hermes-3-Llama-3.1-8B",
- "mistral-nemo": "mistralai/Mistral-Nemo-Instruct-2407",
- "phi-3.5-mini": "microsoft/Phi-3.5-mini-instruct",
- }
- @classmethod
- def get_model(cls, model: str) -> str:
- if model in cls.models:
- return model
- elif model in cls.model_aliases:
- return cls.model_aliases[model]
- else:
- return cls.default_model
-
- @classmethod
- def create_completion(
- cls,
- model: str,
- messages: Messages,
- stream: bool,
- **kwargs
- ) -> CreateResult:
- model = cls.get_model(model)
-
- if model in cls.models:
- session = cf_reqs.Session()
- session.headers = {
- 'accept': '*/*',
- 'accept-language': 'en',
- 'cache-control': 'no-cache',
- 'origin': 'https://huggingface.co',
- 'pragma': 'no-cache',
- 'priority': 'u=1, i',
- 'referer': 'https://huggingface.co/chat/',
- 'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"',
- 'sec-ch-ua-mobile': '?0',
- 'sec-ch-ua-platform': '"macOS"',
- 'sec-fetch-dest': 'empty',
- 'sec-fetch-mode': 'cors',
- 'sec-fetch-site': 'same-origin',
- 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36',
- }
- print(model)
- json_data = {
- 'model': model,
- }
- response = session.post('https://huggingface.co/chat/conversation', json=json_data)
- conversationId = response.json()['conversationId']
- response = session.get(f'https://huggingface.co/chat/conversation/{conversationId}/__data.json?x-sveltekit-invalidated=11',)
- data: list = (response.json())["nodes"][1]["data"]
- keys: list[int] = data[data[0]["messages"]]
- message_keys: dict = data[keys[0]]
- messageId: str = data[message_keys["id"]]
- settings = {
- "inputs": format_prompt(messages),
- "id": messageId,
- "is_retry": False,
- "is_continue": False,
- "web_search": False,
- "tools": []
- }
- headers = {
- 'accept': '*/*',
- 'accept-language': 'en',
- 'cache-control': 'no-cache',
- 'origin': 'https://huggingface.co',
- 'pragma': 'no-cache',
- 'priority': 'u=1, i',
- 'referer': f'https://huggingface.co/chat/conversation/{conversationId}',
- 'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"',
- 'sec-ch-ua-mobile': '?0',
- 'sec-ch-ua-platform': '"macOS"',
- 'sec-fetch-dest': 'empty',
- 'sec-fetch-mode': 'cors',
- 'sec-fetch-site': 'same-origin',
- 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36',
- }
- files = {
- 'data': (None, json.dumps(settings, separators=(',', ':'))),
- }
- response = requests.post(f'https://huggingface.co/chat/conversation/{conversationId}',
- cookies=session.cookies,
- headers=headers,
- files=files,
- )
- first_token = True
- for line in response.iter_lines():
- line = json.loads(line)
-
- if "type" not in line:
- raise RuntimeError(f"Response: {line}")
-
- elif line["type"] == "stream":
- token = line["token"]
- if first_token:
- token = token.lstrip().replace('\u0000', '')
- first_token = False
- else:
- token = token.replace('\u0000', '')
- yield token
-
- elif line["type"] == "finalAnswer":
- break
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